Finally, these fuzzy simulations which became basis for genetic algorithm have been suggested for solving problems of this type and discussing numeric examples.
A method was suggested for solving problems of theory of elasticity for the analysis of thick plates as well as shells and was known as the MIF.
Several approximation algorithms with a polylogarithmic ratio were suggested for these problems, and the upper bound on their approximation threshold stands currently on O logk) and O logn), respectively.
Decomposition of flow variables into acoustic and non-acoustic components is discussed as a complex problem which is crucial for studying many aeroacoustic phenomena, and a new concept is suggested for this problem.
Many solutions were suggested for this problem, but most of these were largely concerned with the movement of small green pieces of paper, which was odd because on the whole it wasn't the small green pieces of paper that were unhappy.
The solution suggested for this problem is changing the whole time-dependent variables into time-averaged components and fluctuating component.
One of the causes that is traditionally suggested for this problem is the lack of preparation of teachers.
The use of gene networks for finding disease-related pathways that form connected subnetwork has been suggested for this problem [19], [20].
One plausible explanation suggested for this problem is the existence of an epistatic effect, where two or more loci have a synergetic influence on the phenotype, also referred to as gene gene interactions (Maher, 2008).
Yet, the Large Neighborhood Search technique (LNS) has almost never been suggested for solving such problems, although it has proven its efficiency and flexibility in solving other complex combinatorial optimization problems.
